The incidence and predictors of poor glycemic control among adults with type 2 diabetes mellitus in ambulatory clinic of mettu karl referral hospital, southwestern oromia, Ethiopia: a prospective cross sectional study

Bereda, Gudisa; Bereda, Gemechis

doi:10.15761/du.1000155

Cited by 16 publications

(24 citation statements)

References 18 publications

(19 reference statements)

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“…The determinant factors of glycemic control varied as well based on the evaluation of different factors between studies. However, we noted that the prevalence of poor glycemic control in the two previous studies [ 12 , 14 ] was high regardless of the assessment measure for glycemic control used in each study.…”

Section: Reviewmentioning

confidence: 65%

“…A recent study from Ethiopia conducted on diabetic patients and defined good glycemic control at HbA1c less than 7% showed that more than one-half of patients (63.8%) had poor glycemic control. Poor glycemic control was significantly associated with the age of 50 years and older, female gender, being single, having high LDL, presence of diabetic peripheral neuropathy, and alcohol intake [ 14 ].…”

Section: Reviewmentioning

confidence: 99%

“…Despite its importance, GC compliance has been found to be low due to multiple factors [ 13 ]. The identification of factors influencing the GC is crucial to institute appropriate intervention for the improvement of GC [ 14 ]. This systematic review identified the factors affecting glycemic control among T2DM patients.…”

Section: Introductionmentioning

confidence: 99%

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Glycemic Control for Type 2 Diabetes Mellitus Patients: A Systematic Review

Rakhis¹,

AlDuwayhis²,

Aleid³

et al. 2022

Cureus

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Diabetes mellitus is a chronic metabolic disorder resulting in hyperglycemia and microvascular and macrovascular complications in individuals globally. Type 2 diabetes mellitus (T2DM) is highly prevalent and accounts for 90% of patients. Maintaining blood glucose concentration is essential to avoid severe complications.Glycemic control is the optimal serum glucose concentration in diabetic patients. It is necessary to identify factors affecting the glycemic control of patients to prevent control and complications. We conducted this systematic review to assess the factors affecting glycemic control among type 2 diabetes mellitus patients.

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Section: Reviewmentioning

confidence: 65%

Section: Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Glycemic Control for Type 2 Diabetes Mellitus Patients: A Systematic Review

Rakhis¹,

AlDuwayhis²,

Aleid³

et al. 2022

Cureus

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“…The majority of cases of hyperglycemic hyperosmolar non-ketotic syndrome are seen in people with non-insulin-dependent diabetes mellitus who also have another concurrent condition that reduces fluid intake [25]. Hyperglycemic hyperosmolar non-ketotic syndrome develops slowly rather than suddenly [26]. The blood sugar level in the hyperglycemic hyperosmolar non-ketotic syndrome is greater than or equivalent to 600 mg/dl.…”

Section: Hyperglycemic Hyperosmolar Non-ketotic Syndromementioning

confidence: 99%

Differences Between Hyperglycemic Hyperosmolar Non-Ketotic Syndrome and Diabetic Ketoacidosis

Bereda¹

2023

BIJRDPM

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Since high blood glucose levels might result from inadequate insulin levels, diabetic ketoacidosis is more common in those with insulin-dependent diabetes mellitus. Diabetic ketoacidosis develops only when there is insufficient insulin in the body to convert blood sugar into energy. The liver then uses the acids created by this process, known as ketones, to breakdown fat for energy. Osmotic diuresis, which results in significant amounts of urine production and volume depletion, as well as dehydration, occurs when an excessive amount of glucose enters the renal tubules of an individual with diabetes. Non-insulin-dependent diabetes mellitus can be more likely to cause hyperglycemic hyperosmolar nonketotic syndrome. More often than not, people with non-insulin-dependent diabetes mellitus who do not have their diabetes under control will experience hyperglycemic and hyperosmolar non-ketotic syndrome. The majority of cases of hyperglycemic hyperosmolar non-ketotic syndrome occur in people with non-insulin-dependent diabetes mellitus who also have another condition that reduces fluid intake.

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“…6 Poor lifestyle habits 6 and inadequate adherence to medications for diabetes were commonly observed. [7][8][9] These behaviors could lead to inadequate glycemic control, 10 contributing to the burden of diabetes such as increased medical cost and increased mortality rates. 11 To effectively manage T2DM and prevent its complications, good self-management behaviors, in which patients actively involve themselves in their own care, need to be further emphasized as an essential role in complementing clinical care.…”

Section: Introductionmentioning

confidence: 99%

A Mobile Application to Improve Diabetes Self-Management Using Rapid Prototyping: Iterative Co-Design Approach in Asian Settings

Kwan

Ong

Choo

et al. 2023

PPA

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Background: Diabetes is a global public health issue, causing burden on healthcare system and increasing risk of mortality. Mobile applications (apps) can be a promising approach to facilitate diabetes self-management. An increasingly utilized approach to facilitate engagement with mobile health (mHealth) technology is to involve potential users in the creation of the technology. Objective: The aim of this study was to use co-design for type 2 diabetes mellitus (T2DM) self-management mHealth development. Methods: Three rounds of iterative rapid prototyping panel sessions were conducted with a total of 9 T2DM participants in an Asian setting between Oct 2020 and April 2021. The participants were recruited through convenience sampling. For each round, feedback was gathered through qualitative interviews, and the feedback was used as a reference by the development team to develop and test a more refined version of the app in the next round. Transcribed semi-structured interview data was analyzed thematically using an inductive approach. Results: Participants' ages ranged from 40 to 69 years. Data saturation was reached, with no new themes emerging from the data. During the sessions, the participants expressed a variety of concerns and feedback on T2DM self-management using EMPOWER app and raised suggestions on the features of ideal T2DM self-management app. Important features include 1) reminders and notifications for medications, 2) Bluetooth integration with glucometers and blood pressure machines to minimize manual entry, 3) enlarged local food database including information on sugar content and recommendations for healthier options, 4) one touch for logging of routine medications and favorite foods, 5) export function for data sharing with physicians. Overall inputs concerned aspects such as userfriendliness of the app, customization possibilities, and educational content for the features in the mobile app. Conclusion:In this study, we explored users' opinions on a T2DM self-management mobile app using co-design approach. This study adds to the growing body of literature on co-designing behavioral mHealth interventions and can potentially guide researchers in mobile app design for other chronic conditions.

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The incidence and predictors of poor glycemic control among adults with type 2 diabetes mellitus in ambulatory clinic of mettu karl referral hospital, southwestern oromia, Ethiopia: a prospective cross sectional study

Cited by 16 publications

References 18 publications

Glycemic Control for Type 2 Diabetes Mellitus Patients: A Systematic Review

Glycemic Control for Type 2 Diabetes Mellitus Patients: A Systematic Review

Differences Between Hyperglycemic Hyperosmolar Non-Ketotic Syndrome and Diabetic Ketoacidosis

A Mobile Application to Improve Diabetes Self-Management Using Rapid Prototyping: Iterative Co-Design Approach in Asian Settings

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